AWS re-Invent re-Cap general deck 2022-2023 .pdf

About Me
• 9+ years at AWS, 14+ in IT Industry
• Senior Developer Advocate, Canada
• Multiple roles, multiple geographies
https://rohinigaonkar.com

AWS re:Invent is a learning conference hosted for the global cloud
computing community with in-person and virtual content.
2000+ Technical
Sessions
50,000+ Attendees
100+
Announcements

My re:Invent Experience
• Presented in breakout session and
on AWS Twitch live
• Attended community events
• Networking

Agenda
• Builder Experience
• Serverless
• DevOps
• AI/ML
• Data and Analytics
• Compute
• Storage
• Networking
• Security & Compliance
• Other

Builder Experience

Preview
AWS Application Composer
• Helps you visually compose and configure AWS services
into serverless applications.
• Backed by Infrastructure as Code (IaC)
• Visual builder that makes it easier to design a serverless
application architecture by:
• Dragging
• Grouping
• Connecting
AWS services in a visual canvas

Preview

Deploy serverless
applications through IaC
AWS Application
Composer’s visual canvas
simplifies common tasks,
such as generating
deployment-ready
configuration and IaC for
each service in the
architecture
Visualize your application
architecture and
configuration
Quickly understand your
application architecture
and its components as you
collaborate with your team
Use cases
Design and build new
serverless applications
AWS Application
Composer removes the
learning curve of
composing serverless
application from multiple
AWS services

Preview
Amazon CodeCatalyst
S P A R K A F A S T E R P L A N N I N G , D E V E L O P M E N T , A N D D E L I V E R Y L I F E C Y C L E O N A W S

Preview
Amazon CodeWhisperer
E N T E R P R I S E A D M I N I S T R A T I V E C O N T R O L S , S I M P L E S I G N - U P , A N D S U P P O R T F O R N E W L A N G U A G E S
• Generates code recommendations
based on the code and comments in
your IDE
• Supports Python, Java, JavaScript,
C#, TypeScript
• Available in popular IDEs - Visual
Studio Code, JetBrains, AWS Cloud9,
AWS Lambda
• Integrate with AWS IAM Identity
Center or use AWS Builder ID

Serverless

GA
AWS Lambda SnapStart
• Reduces Java “Cold Starts” by 90%
• Designed to reduce the ‘init’ phase of
function invocation
• Available for Corretto Java11 runtime.
• No extra charge

GA
AWS Lambda SnapStart Lifecycle

GA
Amazon EventBridge Pipes
C R E A T E P O I N T - T O - P O I N T I N T E G R A T I O N S B E T W E E N E V E N T P R O D U C E R S A N D C O N S U M E R S
• Removes the need to write undifferentiated “glue code”
• Simplest pipe consists of a source and target
• Can include filtering & enrichment as needed

GA
Distributed Map for AWS Step Functions
A S E R V E R L E S S S O L U T I O N F O R L A R G E - S C A L E P A R A L L E L D A T A P R O C E S S I N G
• Supports maximum concurrency of up to 10,000 executions in parallel
• e.g. Iterate over millions of objects in S3
• Process data using any service API supported by Step Functions

GA
Amazon AppFlow Supports Over 50 Applications
Recently released highlights:
• Redshift now featuring PrivateLink connectivity
• SAP* now including ODP support
• Salesforce Marketing Cloud*
• Google Analytics 4
• AWS Glue Data Catalog Integration
New Marketing connectors:
• Facebook Ads*
• Facebook Page Insights
• Google Ads*
• Google Search Console
• Instagram Ads
• LinkedIn Ads
As well as:
• Microsoft Teams
• Zoom Meetings
• Stripe
• Amazon RDS for
PostgreSQL
• QuickBooks Online
• Jira Cloud*
• GitHub
• GitLab
New Customer Service and
Engagement connectors:
• MailChimp
• Sendgrid
• Zendesk Sell*
• Zendesk Chat*
• Zendesk Sunshine
• Freshdesk
• Okta
• Typeform
* Launched in 2022 prior to re:Invent
• CircleCI
• DocuSign Monitor
• Domo
• And more…

DevOps

GA
Amazon ECS Service Connect
• S I M P L I F Y S E R V I C E D I S C O V E R Y , C O N N E C T I V Y A N D T R A F F I C O B S E R V A B I L I T Y F O R A M A Z O N E C S
• Focus on application code while ECS
Service Connect handles service-to-
service communication, service
discovery and observability
• Provides easy network setup and
seamless service communication
deployed across multiple ECS clusters
and VPCs

GA
Amazon RDS Blue/Green Deployments
A M A Z O N R D S M Y S Q L , M A R I A D B A N D A M A Z O N A U R O R A
A new fully-managed feature for Amazon Aurora with MySQL compatibility, Amazon RDS for MySQL
and MariaDB that enables you to make database updates safer, simpler, and faster.

GA
AWS Elastic Disaster Recovery Automated Failback
Automated in-AWS Failback
provides a simplified and
expedited experience to fail
back Amazon EC2 instances
to the original region

AWS Backup – New Features
• AWS Backup for Amazon S3 (Public Preview in US West)
• Support for VMware workloads (GA)
• Protect and Restore Your CloudFormation Stacks (GA)
• Support for Amazon Redshift (GA)
• Delegation of organization-wide backup administration (GA)

Preview
Amazon CloudWatch Internet Monitor
Provides visibility into how an
internet issue might impact the
performance and availability of your
applications.

GA
Amazon CloudWatch Logs Data Protection
A new set of capabilities that leverage pattern matching and machine learning
capabilities to detect and protect sensitive log data-in-transit.
Amazon
CloudWatch
Instance
Date=20221201
SSN=123456789
Date=20221201
SSN=*********
CloudWatch
Logs

GA
Amazon S3 Multi-Region Access Points Failover Controls
• Multi-Region Access Point will automatically route all traffic to the closest bucket
(synchronized via S3 Replication) in another region
• Failover Controls let you shift S3 data access request traffic routed through an
Amazon S3 Multi-Region Access Point to an alternate AWS Region within
minutes to test and build highly available applications for business continuity

Preview
Amazon Route 53 ARC – Zonal Shift
R A P I D L Y R E C O V E R F R O M A P P L I C A T I O N F A I L U R E S I N A S I N G L E A Z
• New capability built into ELBs
• Allows better end user experience for highly resilient multi-AZ applications
• Implementation of a “recovery-oriented” strategy
• Shift traffic away from an AZ to other healthy AZs with ease

Compute

GA
Next Generation Nitro System - Nitro v5
C U S T O M S I L I C O N B U I L T B Y A N N A P U R N A L A B S
AWS Nitro System
• 2x Transistors
• 50% Faster DRAM Speed
• 2x More PCIe Bandwidth
• 60% Higher PPS
• 30% Lower Latency
• 40% Better Performance per Watt

New instance types…
Instance name Family GA/Preview/Announcement
C6in Compute optimized General Availability
C7gn Network-optimized, Graviton3E Preview
HPC7g HPC Optimized, Graviton3E Coming Soon
Hpc6id HPC Optimized General Availability
Inf2 Accelerated Computing, AWS Inferentia2 Preview
Trn1n Accelerated Computing, AWS Trainium chips Coming Soon
R7iz Memory-optimized Preview
M6in,M6ind, Network-optimized General Availability
R6in, R6ind Network-optimized General Availability

Preview
New Graviton3E instance - C7gn
L A T E S T - G E N E R A T I O N E C 2 I N S T A N C E W I T H E N H A N C E D N E T W O R K I N G , P O W E R E D B Y G R A V I T O N A N D N I T R O V 5
C7gn instance
C7gn
• 200Gbps Networking Bandwidth
• Up to 50% better Packet Processing
Performance (compared to C6gn)
• 2x Higher PPS/vCPU (compared to C6gn)

Coming Soon
New Graviton3E instance - HPC7g
T H E B E S T P R I C E / P E R F O R M A N C E F O R T I G H T L Y C O U P L E D C O M P U T E - I N T E N S I V E H P C
HPC7gn instance
HPC7gn
HPL GROMACS FINANCIAL OPTIONS PRICING
+12%
G3 G3
G3E G3E
+35%
+30%
G3 G3E

GA
Amazon EC2 Hpc6id instances
• Optimised for High Performance Computing workloads
Efficiently run memory bandwidth-bound, data-
intensive high performance computing (HPC)
workloads, such as finite element analysis and seismic
reservoir simulations.
• 3rd Generation Intel Xeon Scalable processors
All-core turbo frequency of 3.5 GHz, 1,024 GB of
memory, and up to 15.2 TB of local NVMe solid state
drive (SSD) storage. 200Gbps Elastic Fabric Adapter
(EFA). Ice Lake cores.
• Available now in US regions
Available in US East (Ohio) and AWS GovCloud (US-West).

Preview
Amazon EC2 Inf2
H I G H E S T I N F E R E N C E P E R F O R M A N C E A T T H E L O W E S T C O S T I N A M A Z O N E C 2
Second-generation AWS inferential
accelerator
3x higher computer performance, 4x
higher accelerator memory, up to 4x
higher throughput and up to 10x lower
latency compared to Inf1
Optimized for complex models such as
large language models and vision
transformers
Inf2
Gen2

Coming Soon
Amazon EC2 Trn1n
H I G H E S T M A C H I N E L E A R N I N G P E R F O R M A N C E I N A M A Z O N E C 2
Trn1n
Enhanced network performance version of Trn1 instance with AWS
Tranium chip for AWS machine learning
Low latency EFA-optimized network with up to 1.6 Tbps

Preview
Amazon EC2 R7iz
R7iz
Memory-optimized instances with high clock frequency CPUs
Powered by 4th generation Intel Xeon Scalable Processor
(Sapphire Rapids) running at up to 3.9GHz with all cores turbo
Up to 128 vCPUs and 1,024 GiB of memory
Up to 50Gbps network bandwidth
Up to 40Gbps EBS bandwidth
Highest performance of any X86-based instance, up to 20% faster
than z1d instances

GA
Amazon EC2 M6in,M6ind, R6in, R6ind
General-purpose and memory-optimized instances with high clock
frequency CPUs and high network performance
3rd generation Intel Xeon Scalable Processor running at up to 3.5GHz
with all cores turbo
Up to 200Gbps network bandwidth
Up to 80Gbps EBS bandwidth
Up to 128 vCPUs and 512 GiB of memory for M6in and M6idn
R6in, R6idn up to 128vCPU, 1,024GiB memory
M6idn, R6idn with 7.6TB NVMe SSD
R6in
M6in

GA
Amazon EC2 Microsoft Office AMI
Microsoft Office LTSC Professional Plus 2021 fully compliant AMI provided
Amazon EC2 License Included Windows Server instances: per vCPU
Microsoft Office and RDS Subscriber Access License (SAL): Monthly (non-daily) per user
Instance

GA
AWS Compute Optimizer external metrics support
AWS Compute Optimizer now leverages metrics
captured by partner solutions when calculating
sizing recommendations
Memory metrics can now be obtained from
Datadog, Dynatrace, Instana, and New Relic in
addition to CloudWatch
Enables more cost-optimized proposals in
combination with other factors such as CPU

GA
AWS Nitro Enclaves EKS and k8s support
Nitro Enclaves can now be controlled from Amazon EKS and
Kubernetes Pods
Previously, you had to write your own code, but now you can
deploy and easily manage them as Kubernetes Pods with the
Nitro Enclaves Kubernetes Device Plug-in.

GA
AWS EC2 Torn write prevention
Amazon EBS
Amazon RDS
Amazon EC2 with
Instance Store
Torn Write Prevention (TWP) is a feature that makes writes to
storage transactional and prevents the creation of halfway states,
guaranteeing integrity for writes up to 16KiB blocks.
If you are running a database such as MySQL or MariaDB, you can
disable double writes. Up to 30% performance improvement
without sacrificing endurance.
Available on instance storage for I4i instances and EBS for Nitro-
based instances; RDS is available in the form of Optimized Write

Storage

GA
Amazon EFS Updates
• Elastic Throughput - Provides as much throughput as
needed on a pay-as-you-go basis
• New Lifecycle Policy - 1 day can be set in addition to
the existing 7, 14, 30, 60, and 90 days
• Performance Improvements
• Reads: Up to 60% lower latency
(frequently-accessed data and metadata)
• Writes: Up to 40% lower latency
(files 64 KB or smaller and metadata)

Coming Soon
Amazon EBS io2 SRD support in 2023
By applying SRD(Scalable Reliable Datagram),
write latency is improved by up to 90%, especially in
long-tail areas such as P99.999. Throughput is also
improved by 4X.

GA
Amazon FSx for OpenZFS Updates
New generation of file systems with Amazon FSx
for OpenZFS. Maximum throughput and IOPS
doubled, with NVMe cache
Up to 10GB/s throughput and up to 350,000 IOPS
High-speed NVMe cache up to 2.5TB with read
performance exceeding 1,000,000 IOPS with
latency in the hundreds of microseconds

GA
Amazon FSx for NetApp ONTAP Updates
• Throughput improvement - Doubles
throughput capacity and maximum IOPS per
file system. Throughput increased from 2GB/s
to 4GB/s and SSD IOPS from 80,000 to 160,000.
• Easier to access Multi-AZ file systems - Option
to create Multi-AZ file systems with an IP
address range that’s within your VPC’s IP
address range. This allows you to access them
from on-premises without needing to create
any additional routes in your Transit Gateway.

Networking

Preview
Amazon VPC Lattice
Connectivity
• Cross-account, cross-VPC connections to services
• Application-aware routing
Consistency across compute services
• Integration with Amazon EC2, Amazon ECS, AWS Lambda,
and Amazon EKS/Kubernetes
Observability and traffic control
• Logs or metrics export to Amazon S3, Amazon CloudWatch,
and Amazon Kinesis Data Firehose
• Advanced layer 7 routing and resiliency controls
Security
• Access policy for Zero Trust architectures
• Centralized control of inbound and outbound traffic
Simplifies the way developers connect,
secure, and observe communication,
with application layer networking
between services
Service-aware networking

Preview
Amazon VPC Lattice benefits
Increased
developer
productivity
Simplified service
discovery and
connectivity
Enhanced
security posture
Granular access
control with IAM
roles
Improved scale
and resilience
Fully managed control
plane and data plane
Reduced Day 2
operations
costs
Operate large
environments
with fewer
resources
Optimized
compute choice
Support for EC2 Auto
Scaling groups, EKS,
Lambda
< >

Granular secure
access to services
for Zero Trust
Traffic
management at
scale
Streamlined
service-to-service
operations
Secure and simple
cross-VPC
connectivity
VPC 2
VPC 1
VPC 3
VPC N
Use cases for Amazon VPC Lattice

Preview
Introducing AWS Verified Access
Remote access to corporate applications
AWS Verified
Access
VPN-less access to
corporate applications
Connect to
trust providers
Use your existing corporate
identity and device
management service
Associate your
applications
Create public endpoints for
your corporate applications
Express access
policies
Create per-application
granular policies
Users
Access applications from
anywhere

Preview
Benefits summary
Enhance security
posture
Improve end-
user experience
Simplify
operations
AWS Verified Access
Reduce the risk of
lateral movement and
spread of ransomware.
Access across all
applications and
devices.
Define policies and onboard new
applications in minutes. Automate
with third-party services.

Preview
AWS Verified Access use cases
Centralized
Access Logs
Secure
distributed users
Manage corporate
application access
Corporate application
access with zero trust
principles using
multiple security
signals such as
identity, location, and
device security status.
Central policy
creation and
management for IT
admins to onboard
new corporate
applications in
minutes.
Full visibility into
corporate application
access requests and
logs, facilitating quick
data gathering and
faster remediation.

GA
Load Balancing Enhancements
• ALB now supports turning cross zone load balancing off
• NLB health check improvements
§ Configure health-check intervals
§ Specify HTTP response codes
§ Configure consecutive health check responses
• ALB/NLB minimum healthy targets
• Route 53 ARC zonal shift for ALB/NLB [Preview]

GA
Networking Enhancements
• VPC Reachability Analyzer supports cross-account traces
• AWS Network Manager introduces real-time performance monitoring for the
AWS Global Network

GA
Elastic Network Adapter (ENA) Express
Enables the benefits of Scalable Reliable Diagrams
(SRD) to be applied to general workloads
Users do not need to be aware of SRD and can
implement it using normal TCP/UDP communication
Throughput of up to 5-25 Gbps available on a single
stream

Security & Compliance

Preview
Amazon Verified Permissions
F I N E - G R A I N E D P E R M I S S I O N S A N D A U T H O R I Z A T I O N F O R Y O U R C U S T O M A P P L I C A T I O N S
Externalize authorization
with policy and
schema management
Govern fine-grained permissions
within applications and data with
policy lifecycle management
Simplify compliance audits at
scale, identify overprovisioned
permissions, and connect to
monitoring workflows
Analyze millions of permissions
across applications with the power
of automated reasoning
Integrate your current identity
provider to sync user profiles,
attributes, and group
memberships
Build applications faster
and support Zero Trust
architectures with
dynamic, real-time
authorization decisions

Preview
Amazon Security Lake
A U T O M A T I C A L L Y C E N T R A L I Z E Y O U R D A T A S E C U R I T Y
• Centralize data automatically from cloud, on-premises, and
custom security sources across Regions
• Optimize and manage security data for more efficient
storage and query performance
• Normalize data to an industry standard to easily share and
use with multiple analytics tools
• Analyze using your preferred analytics tools while retaining
control and ownership of your security data

GA
AWS Config Proactive Compliance
• Proactively check for compliance with AWS
Config rules prior to resource provisioning
• Run rules at any time before provisioning,
saving time spent remediating non-
compliant resources
• Incorporate AWS Config rules into
infrastructure-as-code CI/CD pipelines to
identify non-compliant resources before
provisioning
• Use the AWS console or APIs to enable rules
to run proactively

Preview
AWS Control Tower – Comprehensive Controls Management
• Apply managed preventative, detective,
and proactive controls to accounts and
organizational units (OUs) by service,
control objective, or compliance
framework
• Reduce the time to vet AWS services
from months or weeks to minutes
• Define map, and manage the controls
required to meet the most common
control objectives and regulations

GA
AWS Organizations – Delegation of Administrative accounts
In organizational units with
different operational policies
Sub-administrators can be
authorized and
easier to implement individual
policies.

GA
Amazon Macie Automated Data Discovery
C O N T I N U A L V I S I B I L I T Y I N T O W H E R E Y O U R S E N S I T I V E D A T A R E S I D E S
• Discover and protect your sensitive data at scale
• Gain cost-efficient visibility into sensitive data stored in
Amazon S3, with one-click
• Use the interactive S3 data map to continually
strengthen your data security posture
• Reduce triage time with actionable reporting of
sensitive data and sensitivity score for each bucket

GA
AWS Control Tower Account Factory Customization (AFC)
AWS Control Tower
Additional settings can now be implemented when adding AWS
accounts to AWS Control Tower.
Previously, only standard settings were available for VPCs, etc., and
customization required a combination of Customization for Control
Tower, etc.
Service Catalog products can now be specified when creating an
account. The product is automatically deployed when an account is
created, and the initial setup of the account is performed.
Service Catalog products are defined in CloudFormation templates,
allowing for flexible initial setup.

GA
AWS CloudTrail Lake AWS Config integration
AWS CloudTrail
CloudTrail
Lake
AWS Config
AWS CloudTrail Lake can now import configuration items from AWS
Config.
CloudTrail logs and AWS Config-derived configuration information
can now be centrally collected and analyzed, facilitating security and
compliance investigations

GA
Amazon Inspector for Lambda Functions
A U T O M A T E D C O N T I N U A L V U L N E R A B I L I T Y M A N A G E M E N T A T S C A L E
• Quickly discover and assess running Lambda functions
for software vulnerabilities
• Automatically map vulnerabilities detected in software
dependencies used in AWS Lambda functions to the
underlying Lambda layers
• Consolidate your vulnerability management solutions
for EC2, Lambda functions, and ECR container images
into one fully managed service

GA
AWS KMS external key store (XKS)
• Extends existing AWS KMS custom key store feature beyond
AWS CloudHSM (customer controlled, single-tenant HSM
inside AWS datacenters) to keys in on-premises HSM

Preview
Amazon GuardDuty RDS Protection
T H R E A T D E T E C T I O N F O R D A T A S T O R E D I N A M A Z O N A U R O R A
• Threat detection for Amazon Aurora databases enabled
with a few clicks in the GuardDuty console
• Identify potential threats to data stored in your
Amazon Aurora databases using machine learning
• Continuously monitor existing and new Amazon Aurora
databases in your organization
• Designed to have no database performance impact or
modifications needed

AI/ML

GA
Next Generation SageMaker Notebooks
N E W F E A T U R E – I N C R E A S E E F F I C I E N C Y A C R O S S T H E M L D E V E L O P M E N T W O R K F L O W
Built-in Data preparation in SageMaker Studio Notebooks

GA
Shared spaces that give data science and ML teams a workspace for real-time collaboration

GA
Automate a Notebook as a job that can run in a Production environment
Amazon SageMaker
Studio Notebook
Amazon SageMaker Studio
Notebook Job
On-Demand Schedule
Training Job
Train model
Amazon
SageMaker
Endpoint
Deploy model
Create Notebook Job

Preview
N E W F E A T U R E – G E O S P A T I A L M L
• Acquire geospatial data with just a few clicks
• Easily prepare geospatial data with built-in
operations and transformations
• Speed model building with pre-trained deep
neural network (DNN) models and geospatial
operators
Amazon SageMaker
Geospatial ML Support
Geospatial ML with Amazon SageMaker

Amazon SageMaker Data Wrangler
N E W F E A T U R E – S U P P O R T S S A A S A P P L I C A T I O N S A S D A T A S O U R C E S
Amazon SageMaker
Data Wrangler
Amazon AppFlow
40 SaaS
applications
• Bring data from external
SaaS Solutions
• Aggregate external SaaS
application data for ML in
Data Wrangler to prepare
data for ML
• More than 40 SaaS
applications as data sources

GA
Real-Time and Batch Inference in Data Wrangler
N E W F E A T U R E – R E A L - T I M E A N D B A T C H I N F E R E N C E I N D A T A W R A N G L E R
Data Wrangler
Flow
Data
Scientist
ML
Engineer
Amazon SageMaker Data Wrangler
Data
Preparation
Job
Model
Training
Inference
Pipeline
Run data
preparation
for model
training
Reuse data
transformation flow
for real-time & batch
inference
Define data
preparation
for training
Deploy
inference
• Deploy data preparation
flows from Data
Wrangler for real-time
and batch inference
• Reuse the data
transformation flow
• Speed up your
production deployment

GA
Amazon SageMaker – New Governance tools
N E W F E A T U R E – S I M P L I F Y A C C E S S C O N T R O L A N D E N H A N C E T R A N S P A R E N C Y
Monitor all your deployed models through a unified dashboard

GA
Amazon SageMaker – Role Manager
N E W F E A T U R E – S I M P L I F Y A C C E S S C O N T R O L A N D E N H A N C E T R A N S P A R E N C Y
Define custom permissions for
SageMaker users in minutes
Onboard users faster
Amazon SageMaker Role Manager
Data Scientists
MLOps
Engineers
Administrator
Data Scientist
Role
Data Scientist
Permissions
MLOps Engineer
Role
MLOps Engineer
Permissions
Define custom
role &
permissions
Assign role to
users/groups

GA
Shared models and notebooks
Amazon SageMaker – New Features
S H A D O W M O D E A N D S H A R I N G M L M O D E L S
Deploy a model in shadow mode and conduct a
holistic test
Use deployment guardrails for SageMaker inference
endpoints to update your model in production.
Share ML artifacts, such as models and notebooks,
more easily with other users with the same AWS
Account
Amazon SageMaker Endpoint
Production Variant
Shadow Variant
Model A
Model B
Request
Response
Request
Request
Response
Application
Response
Amazon S3
Amazon SageMaker Jumpstart
Data
Scientist 1
Data
Scientist 2
Notebook ML Model
Create and share
notebook/models
Select shared
model/notebook to use
Notebook ML Model

GA
Amazon Textract - Analyze Lending API
Amazon
Textract
Payslip
Identity
document
Bank
Statement
Extracted
Data
User
Review
Automated
Review
Approve
Reject
• Analyze and classify documents
contained in mortgage loan
applications
• Greater workflow automation to
accelerate automation efforts
• Reduce human error so that
users can focus on higher-value
tasks

GA
Amazon Comprehend for IDP
I N T E L L I G E N T D O C U M E N T P R O C E S S I N G ( I D P )
Amazon Comprehend
PDF
Microsoft
Word
Images
• Classify and extract entities
from files, without extracting
the text first
• Real-time inferencing of files,
as well as asynchronous batch
processing on large document
sets
• Combines OCR and
Comprehend NLP capabilities
to classify and extract entities

GA
I N T E L L I G E N T E N T E R P R I S E S E A R C H
Tabular search for HTML documents
Search more intuitively and effectively through tables
embedded in HTML pages
Extended language support for
semantic search
Kendra now supports semantic search for English,
Spanish, French, German, Portuguese, Japanese,
Korean, and Chinese
Credit Card Interest Rates
Bank 1 21.55
Bank 2 20.45
Bank 3 21.47
What’s the credit card with the lowest annual fees?
Credit Card Interest Rates
Bank 1 21.55
Bank 2 20.45
Bank 3 21.47
¿Qué es Amazon Kendra?
Amazon Kendra

AI Service Cards
AWS AI Service Cards to provide information on
AWS AI Services as Responsible AI
Provides documentation of expected use cases,
limitations, design guidelines for Responsible AI,
and best practices for use and operation
Rekognition Face Matching, Textract AnalyzeID,
and Transcribe Batch (English-US) are the initial
targets and will be expanded based on customer
feedback.

Data and Analytics

Coming Soon
Amazon Data Zone
U N L O C K D A T A A C R O S S O R G A N I Z A T I O N A L B O U N D A R I E S W I T H B U I L T - I N G O V E R N A N C E
• Link data producers and consumers
• Break data silos
• Enhance data discovery
• Simplify collaboration
• Govern data on its journey

Preview
Create clean rooms in
minutes
AWS Clean Rooms
C O L L A B O R A T E W I T H O U T S H A R I N G R A W D A T A
• More securely match, analyze, and collaborate with
datasets to gain insights and optimize campaign
performance
• Collaborate with hundreds of thousands of companies
on AWS without sharing or revealing underlying data
• Protect underlying data with a broad set of privacy-
enhancing controls for clean rooms
• Use flexible, easy-to-configure analysis rules to tailor
queries to your specific business needs

Preview
OpenSearch Serverless
AWS OpenSearch Serverless
R E A L - T I M E S E A R C H , M O N I T O R I N G , A N D A N A L Y S I S O F B U S I N E S S A N D O P E R A T I O N A L D A T A
• Automatically provisions and scales the underlying
resources to deliver fast data ingestion and query
responses.
• Decouples compute and storage and separates the
indexing (ingest) components from the search (query)
components
• supports the same ingest and query APIs as OpenSerach
so you can get started in seconds with your existing
clients and applications

Preview
D E L I V E R H I G H Q U A L I T Y D A T A A C R O S S Y O U R D A T A L A K E S A N D D A T A P I P E L I N E S
AWS Glue Updates
• AWS Glue 4.0 – Access to the latest Spark and Python releases so builders can
develop, run, and scale their data integration workloads and get insights faster.
• AWS Glue Data Quality - Automatic data quality rule recommendations based
on your data
• AWS Glue for Ray - Data integration with Ray (ray.io), a popular new open-
source compute framework that helps you scale Python workloads
• AWS Glue for Apache Spark - Supports three open source data lake storage
frameworks: Apache Hudi, Apache Iceberg, and Linux Foundation Delta Lake.
• AWS Glue Custom Visual Transform - Create and share your own ETL logic,
input rules, etc. on Studio. Available on the Transform tab of Glue Studio. Master
administrators in Glue Studio can improve efficiency for other workers.

GA
Amazon Athena for Apache Spark
B U I L D I N T E R A C T I V E S P A R K A P P L I C A T I O N S
Interactive Spark applications start under a second and run
faster with our optimized Spark runtime
Harness Spark for complex, powerful analytics using the
expressive power of Python along with its wide ecosystem
Build applications without managing resources or configuring
software with Athena

GA
Amazon Redshift Updates
• Apache Spark Integration - Author Apache Spark applications
using Java, Python, Scala, with access to rich, curated data in your
data warehouse
• Streaming Ingestion Support - Kinesis Data Streams (KDS) and
Managed Streaming for Apache Kafka (MSK) without staging in S3
• Dynamic Data Masking - Easily protect sensitive data by
managing data masking policies through an SQL interface
• Auto-Copy From Amazon S3 - Simple, low code data ingestion
• New Query sets – MERGE,ROLLUP,CUBE,GROUPING SETS
• Supporting large JSON object – Up to 16MB (from 1MB)
• Multi-AZ deployment

Preview
Amazon Aurora Zero-ETL Integration
I N T E G R A T I O N W I T H A M A Z O N R E D S H I F T
Amazon Redshift Amazon Aurora
• Drive holistic insights across applications
or partitions
• Analyze data from multiple Aurora
databases in the same Redshift cluster
• Leverage Redshift features such as
materialized views, data sharing and
federated access to data lakes

Preview
AWS Lake Formation Data Sharing Access Control
C E N T R A L L Y M A N A G E D A T A S H A R I N G
AWS
LAKE FORMATION
Amazon Redshift
Amazon Redshift
Amazon Redshift
• Centrally manage granular access to data
across all consuming data services
• Improve security and governance with row
level and column level granular permissions on
data sharing
• No manual scripting or complex querying
• Define policies once and enforce those
consistently for multiple consumers

GA
Amazon QuickSight Updates
• Paginated Reports - Create, schedule, and share highly
formatted multipage reports
• Q Automated Data Prep - AI-enhanced automated data
preparation, making it fast and straightforward to augment
existing dashboards for natural language questions
• QuickSight API - Access underlying data models of
Amazon QuickSight dashboards, reports, analyses and
templates via the AWS Software Development Kit (SDK
• 2 new questions types – “forecast” and “why”. “forecast”
created dynamic forecast dashboard, and “why”
determines its data driver which related a specific data
change

GA
Amazon RDS Optimized Reads/Writes
• Optimized Reads - achieve faster query processing by placing
temporary tables generated by MySQL on NVMe-based SSD block storage that
is physically connected to the host server. Queries that use temporary tables,
such as those involving sorts, hash aggregations, high-load joins, and Common
Table Expressions (CTEs) can execute up to 50% faster with Optimized Reads.
• r5d, m5d, r6gd and m6gd
• MySQL engine version 8.0.28 or newer
• Optimized Writes - deliver an improvement of up to 2x in write
transaction throughput at no extra charge, and with the same level of
provisioned IOPS.
• db.r5b or db.r6i
• latest version of MySQL 8.0

GA
Amazon Kinesis Firehose OpenSearch integration
Support for Amazon OpenSearch Serverless as a
stream delivery destination for Amazon Kinesis
Data Firehose

GA
Amazon DocumentDB Elastic Cluster
Amazon DocumentDB
(with MongoDB
compatibility)
Flexibly scales to store petabytes of data and handle millions of
read/write requests per second
Infrastructure is managed by AWS. No instance creation or
scaling operations required.
Provides availability across 3 AZs, with data replicated to 6
locations across 3 AZs for high durability

GA
Trusted Language Extensions for PostgreSQL
OSS development kit for developing PostgreSQL extensions
Open source software based on Apache 2.0 license
DB administrators can set permissions and control the
installation and execution of extensions
Can be developed in JavaScript, Perl, and PG/pgSQL
Amazon Aurora (PostgreSQL compatible) and Amazon RDS for
PostgreSQL version 14.5 or later

Preview
AWS Data Exchange for LakeFormation and S3
AWS Data Exchange subscribers (users) now have direct
access to the data provider's S3 buckets or
LakeFormation's catalog
Users no longer need to create S3 or other storage
locations to copy and update data, reducing resource costs.

Other

GA
Amazon Omics
Population-level
scale
Multiomic and
multimodal
analysis
Fully managed
bioinformatics
computation
Built-in security,
privacy, and
compliance
Store, query, analyze, and generate insights from genomics and other omics data to improve
human health and advance scientific discoveries

GA
AWS Wickr Single product with full suite of
collaboration capabilities
Multi-device (mobile, desktop) access with
ability to function in low-bandwidth
environments
Enterprise management administrative
control and IT integration
Data retention service supports archiving
and data privacy protection
Federated SaaS, self-hosted, and air-
gapped deployment options
Advanced end-to-end encryption (E2EE)
Enhanced security on personal devices
without the need for VPN or special software

GA
AWS IoT Core Updates
AWS IoT Core
• MQTT 5 - Message headers for faster message
processing
• Device Location - Obtain device location without
GPS
• Scheduled Jobs - Define a start and end time for
an AWS IoT job

GA
AWS SimSpace Weaver
• Fully managed compute service to help deploy large-scale spatial simulations
• Create seamless large-scale crowd simulations or virtual city environments
• Build using SimSpace Weave Local Development environment to test hardware
• Run Unity, Unreal Engine 5 or your own custom simulation engine
B U I L D , O P E R A T E , A N D M A N A G E L A R G E - S C A L E S I M U L A T I O N S O N A W S

Preview
AWS Supply Chain
I N C R E A S E S U P P L Y C H A I N R E S I L I E N C E
Easily connect
data across
systems
Quickly
harmonize into a
unified view
View ML-
powered insights
and risk alerts
Accelerate
mitigation with
recommendations
Scale with pay-
as-you-go pricing

AWS Marketplace Announcements
• Streamline Vendor Risk Assessments with AWS Marketplace Vendor Insights
A unified web-based dashboard gives governance, risk, and compliance (GRC) teams access to
security and compliance information, such as data privacy and residency, application security,
and access control.
• AWS Marketplace for Containers Supports Direct Deployment to EKS Clusters
Amazon EKS add-ons allow you to consistently ensure your EKS clusters are secure and stable and
reduce the amount of work you need to do in order to install, configure, and update Kubernetes
software.
• Integrating Third-Party Data into Your Data Mesh
Data-driven organizations are increasingly using third-party data to gain insights into their
competitive landscape, track changing consumer behaviours, develop real-time responses to
market dynamics, and optimize their operations with sustainability in mind

Amazon Braket Algorithm Library
Amazon Braket Python implementations of well-known algorithms such as
quantum phase estimation, quantum circuit Bourne machines,
and quantum walks are available as open source on Github.
Direct code loading with Jupyter notebooks

Preview
Amazon Connect Forecasting, Capacity planning, and Scheduling
Machine Learning powered Contact Centre capabilities
• Uses ML to forecast demand and capacity
• Contact centre managers can determine optimal staffing levels
• Managers can create “what-if” scenarios to plan for staff
absence, increased call time, and other metrics
Contact centre agent management
• Agents can access their work schedule through the Amazon
Connect agent workspace
• Request breaks, time off or overtime without requiring manual
management approval
Completely integrated into end-user tools
• Managers and staff can administer, review and manage their
workloads via a graphical user interface.

Preview
Amazon Connect Agent Workspace Guides
• Empowering agents with a unified
experience including step-by-step
guides.
• Provided experiences to drive
recommended remedial actions
• All necessary information provided to
agents on case and customer
• Real time recommendations
• Agents can become more productive and
decrease training time

Preview
Amazon Connect Contact lens chat support
SILENCE
POSITIVE
SENTIMENT
NEGATIVE
SENTIMENT
Enables monitoring of operator performance.
Evaluation can be made on the basis of whether the operator is conducting the prescribed
talk and whether the rules for receiving information are being followed.

GA
Amazon GameLift Anywhere
Amazon GameLift, which provides session management for
multiplayer games, can now be run on a user's on-premise
or other servers.
Register your own servers to run as an Anywhere Fleet, and
integrate with GameLift FlexMatch, Queue Service, and
other cloud-based functions via APIs.

Stay in touch and connect
with the AWS Community

aws.amazon.com/developer/events/

twitter.com/awsdevelopers

twitch.tv/aws

youtube.com/@BuildOnAWS

Questions?

Thank you!
Rohini Gaonkar
https://rohinigaonkar.com
Slides at - https://www.slideshare.net/rohinigaonkar

AWS re-Invent re-Cap general deck 2022-2023 .pdf

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